Evidence map›Paper›PMID 34961776›Full record

ArticleScientific reports2021

Tracing contacts to evaluate the transmission of COVID-19 from highly exposed individuals in public transportation.

Caio Ponte, Humberto A Carmona, Erneson A Oliveira, Carlos Caminha, Antonio S Lima, José S Andrade, Vasco Furtado

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. A macrophage-endothelial cell axis in kidney diseases.International urology and nephrology · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Caio PontePrograma de Pós Graduação em Informática Aplicada, Universidade de Fortaleza, Fortaleza, Ceará, 60811-905, Brasil.
Humberto A CarmonaDepartamento de Física, Universidade Federal do Ceará, Fortaleza, Ceará, 60455-760, Brasil.
Erneson A OliveiraPrograma de Pós Graduação em Informática Aplicada, Universidade de Fortaleza, Fortaleza, Ceará, 60811-905, Brasil. erneson@unifor.br.
Carlos CaminhaPrograma de Pós Graduação em Informática Aplicada, Universidade de Fortaleza, Fortaleza, Ceará, 60811-905, Brasil.
Antonio S LimaCélula de Vigilância Epidemiológica, Secretaria Municipal da Saúde, Fortaleza, Ceará, 60810-670, Brasil.
José S AndradeDepartamento de Física, Universidade Federal do Ceará, Fortaleza, Ceará, 60455-760, Brasil.
Vasco FurtadoPrograma de Pós Graduação em Informática Aplicada, Universidade de Fortaleza, Fortaleza, Ceará, 60811-905, Brasil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigate, through a data-driven contact tracing model, the transmission of COVID-19 inside buses during distinct phases of the pandemic in a large Brazilian city. From this microscopic approach, we recover the networks of close contacts within consecutive time windows. A longitudinal comparison is then performed by upscaling the traced contacts with the transmission computed from a mean-field compartmental model for the entire city. Our results show that the effective reproduction numbers inside the buses, [Formula: see text], and in the city, [Formula: see text], followed a compatible behavior during the first wave of the local outbreak. Moreover, by distinguishing the close contacts of healthcare workers in the buses, we discovered that their transmission, [Formula: see text], during the same period, was systematically higher than [Formula: see text]. This result reinforces the need for special public transportation policies for highly exposed groups of people.

Indexed as

BrazilContact TracingCOVID-19Disease OutbreaksHealth PersonnelHumansModels, TheoreticalSARS-CoV-2Transportation

Identifiers

PMID34961776
PMCPMC8712527

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.